import cv2

face_cascade = cv2.CascadeClassifier('./cascades/haarcascade_frontalface_default.xml')
img = cv2.imread('./images/1.jpeg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x, y, w, h) in faces:
    img = cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
cv2.imshow("After Detected", img)
cv2.imwrite("./images/1_1.jpeg", img)
cv2.waitKey(0)
